Stanback

/*
 * Simple test of PhantomJS and the XContentReady event.
 *
 * This is the basic pattern used for the ember-prerender project: https://github.com/zipfworks/ember-prerender
 * More info on the XContentReady event: https://github.com/n-fuse/the-XContentReady-Event/
 *
 * Usage: phantomjs phantom_test.js
 */

var page = require('webpage').create();

cronnelly

          ┌─────────────────────────────────────────────────────────┤ Configuring lxd ├──────────────────────────────────────────────────────────┐           
          │                                                                                                                                      │           
          │ lxcbr0 is being replaced by lxdbr0                                                                                                   │           
          │                                                                                                                                      │           
          │ With this package upgrade LXD is moving away from the LXC provided lxcbr0 bridge and moving to its own lxdbr0 bridge.                │           
          │                                                                                                                                      │           
          │ The reason for this switch is:                                  

Stanback

#
# Example Dockerfile that builds PhantomJS 2.0
#
# Build with:
#  docker build --rm --tag=phantom2.0:latest .
#
# Run with:
#  docker run --name=phantom2.0 phantom2.0
#
# Copy the executable to your host machine for distribution:

robbypelssers

import java.text.Normalizer


/**
 * Problem: Characters with accents or other adornments can be encoded in several different ways in Unicode
 * However, from a user point of view if they logically mean the same, text search should make no distinction 
 * between the different notations. So it's important to store text in normalized unicode form.  Code below shows
 * how to check if text is normalized and how you can normalize it.
 **/
object NormalizationTest {

Stanback

// src/app/preactDomRenderer.js

import { h, render } from 'preact';
import undom from 'undom';

const VOID_ELEMENTS = [
  'area',
  'base',
  'br',
  'col',

tgecho

Directional React Animations

This is a demo of dynamic directional transitions using React's CSSTransitionGroup.

A Pen by tgecho on CodePen.

License.

MrDavidYu

import matplotlib.pyplot as plt
import matplotlib.patches as patches
from PIL import Image
import numpy as np

input_test_img = '/your/path/Utah_AGRC-HRO_15.0cm_12TVK220980-CROP.0.0.jpg'
im = np.array(Image.open(input_test_img), dtype=np.uint8)

# Create figure and axes
fig,ax = plt.subplots(figsize=(10, 10))

MrDavidYu

with detection_graph.as_default():
    with tf.Session(graph=detection_graph) as sess:
        image_tensor = detection_graph.get_tensor_by_name('image_tensor:0')
        detection_boxes = detection_graph.get_tensor_by_name('detection_boxes:0')
        detection_scores = detection_graph.get_tensor_by_name('detection_scores:0')
        detection_classes = detection_graph.get_tensor_by_name('detection_classes:0')
        num_detections = detection_graph.get_tensor_by_name('num_detections:0')
          for image_path in TEST_IMAGE_PATHS:
            image = Image.open(image_path)
            image_np = load_image_into_numpy_array(image)

xmlking

export class EnumSymbol {
    sym = Symbol.for(name);
    value: number;
    description: string;

    constructor(name: string, {value, description}) {

        if(!Object.is(value, undefined)) this.value  = value;
        if(description) this.description  = description;

jurgob

import React from 'react'

function defaultGetWidth () {
  return window.innerWidth;
}

function defaultGetHeight () {
  return window.innerHeight;
}